Acoustic Tomography in the Greenland Sea

A six transceiver ocean acoustic tomography array was deployed to monitor ocean ventilation and circulation over the 1988-89 winter cooling season. A stochastic inverse method computer code which attains a solution by minimizing mean square error is used to perform inversions of the Greenland Sea to...

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Bibliographic Details
Main Author: Joseph, John E.
Other Authors: NAVAL POSTGRADUATE SCHOOL MONTEREY CA
Format: Text
Language:English
Published: 1991
Subjects:
Online Access:http://www.dtic.mil/docs/citations/ADA246574
http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA246574
id ftdtic:ADA246574
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spelling ftdtic:ADA246574 2023-05-15T16:25:30+02:00 Acoustic Tomography in the Greenland Sea Joseph, John E. NAVAL POSTGRADUATE SCHOOL MONTEREY CA 1991-06 text/html http://www.dtic.mil/docs/citations/ADA246574 http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA246574 en eng http://www.dtic.mil/docs/citations/ADA246574 Approved for public release; distribution is unlimited. DTIC AND NTIS Medicine and Medical Research Physical and Dynamic Oceanography Acoustics *OCEANOGRAPHIC DATA GREENLAND SEA ANGLES DENSITY THICKNESS MODELS THEORY VENTILATION PATHS ESTIMATES TIME VARIATIONS CODING RELIABILITY SOLUTIONS(GENERAL) SEASONAL VARIATIONS SCALE ERRORS LAUNCHING INVERSION TOMOGRAPHY MEAN OCEANS ACOUSTIC VELOCITY TRANSMITTER RECEIVERS ALGORITHMS COMPUTERIZED SIMULATION *ACOUSTIC ARRAYS *TOMOGRAPHY *OCEAN CIRCULATION *GREENLAND SEA WINTER OCEAN CURRENTS THESES REMOTE SENSING OCEAN VENTILATION RAY TRACING EIGENRAYS BOUNDARY LAYER FLOW Text 1991 ftdtic 2016-02-22T22:05:31Z A six transceiver ocean acoustic tomography array was deployed to monitor ocean ventilation and circulation over the 1988-89 winter cooling season. A stochastic inverse method computer code which attains a solution by minimizing mean square error is used to perform inversions of the Greenland Sea tomography data. A computer simulated ocean is used to evaluate various aspects of system performance. We first consider the advantages and problems associated with using a ray theory based algorithm. Next, we made two adjustments to our inversion code and discuss the effects on system performance. The first adjustment allows for layers of different thicknesses in the inverse solution to increase the density of estimates in regions of interest. The second adjustment allows the estimator to expect variability of the unknown field to decrease exponentially with depth. The ray theory based algorithm is an adequate method of modeling ray paths in the Greenland Sea, but has limitations. Reliability of ray paths degrades as launch angles become shallower and if strong gradients and rapidly changing gradients in sound speed are present in the vicinity of the transceiver elements. A set of Greenland Sea data between one transceiver pair was processed. Although only three groups of eigenrays are involved, initial inversion results indicate the estimator detects seasonal variations and synoptic scale events occurring at time scales greater than 20 days, however, solutions show wide fluctuations at shorter times. Text Greenland Greenland Sea Defense Technical Information Center: DTIC Technical Reports database Greenland
institution Open Polar
collection Defense Technical Information Center: DTIC Technical Reports database
op_collection_id ftdtic
language English
topic Medicine and Medical Research
Physical and Dynamic Oceanography
Acoustics
*OCEANOGRAPHIC DATA
GREENLAND SEA
ANGLES
DENSITY
THICKNESS
MODELS
THEORY
VENTILATION
PATHS
ESTIMATES
TIME
VARIATIONS
CODING
RELIABILITY
SOLUTIONS(GENERAL)
SEASONAL VARIATIONS
SCALE
ERRORS
LAUNCHING
INVERSION
TOMOGRAPHY
MEAN
OCEANS
ACOUSTIC VELOCITY
TRANSMITTER RECEIVERS
ALGORITHMS
COMPUTERIZED SIMULATION
*ACOUSTIC ARRAYS
*TOMOGRAPHY
*OCEAN CIRCULATION
*GREENLAND SEA
WINTER
OCEAN CURRENTS
THESES
REMOTE SENSING
OCEAN VENTILATION
RAY TRACING
EIGENRAYS
BOUNDARY LAYER FLOW
spellingShingle Medicine and Medical Research
Physical and Dynamic Oceanography
Acoustics
*OCEANOGRAPHIC DATA
GREENLAND SEA
ANGLES
DENSITY
THICKNESS
MODELS
THEORY
VENTILATION
PATHS
ESTIMATES
TIME
VARIATIONS
CODING
RELIABILITY
SOLUTIONS(GENERAL)
SEASONAL VARIATIONS
SCALE
ERRORS
LAUNCHING
INVERSION
TOMOGRAPHY
MEAN
OCEANS
ACOUSTIC VELOCITY
TRANSMITTER RECEIVERS
ALGORITHMS
COMPUTERIZED SIMULATION
*ACOUSTIC ARRAYS
*TOMOGRAPHY
*OCEAN CIRCULATION
*GREENLAND SEA
WINTER
OCEAN CURRENTS
THESES
REMOTE SENSING
OCEAN VENTILATION
RAY TRACING
EIGENRAYS
BOUNDARY LAYER FLOW
Joseph, John E.
Acoustic Tomography in the Greenland Sea
topic_facet Medicine and Medical Research
Physical and Dynamic Oceanography
Acoustics
*OCEANOGRAPHIC DATA
GREENLAND SEA
ANGLES
DENSITY
THICKNESS
MODELS
THEORY
VENTILATION
PATHS
ESTIMATES
TIME
VARIATIONS
CODING
RELIABILITY
SOLUTIONS(GENERAL)
SEASONAL VARIATIONS
SCALE
ERRORS
LAUNCHING
INVERSION
TOMOGRAPHY
MEAN
OCEANS
ACOUSTIC VELOCITY
TRANSMITTER RECEIVERS
ALGORITHMS
COMPUTERIZED SIMULATION
*ACOUSTIC ARRAYS
*TOMOGRAPHY
*OCEAN CIRCULATION
*GREENLAND SEA
WINTER
OCEAN CURRENTS
THESES
REMOTE SENSING
OCEAN VENTILATION
RAY TRACING
EIGENRAYS
BOUNDARY LAYER FLOW
description A six transceiver ocean acoustic tomography array was deployed to monitor ocean ventilation and circulation over the 1988-89 winter cooling season. A stochastic inverse method computer code which attains a solution by minimizing mean square error is used to perform inversions of the Greenland Sea tomography data. A computer simulated ocean is used to evaluate various aspects of system performance. We first consider the advantages and problems associated with using a ray theory based algorithm. Next, we made two adjustments to our inversion code and discuss the effects on system performance. The first adjustment allows for layers of different thicknesses in the inverse solution to increase the density of estimates in regions of interest. The second adjustment allows the estimator to expect variability of the unknown field to decrease exponentially with depth. The ray theory based algorithm is an adequate method of modeling ray paths in the Greenland Sea, but has limitations. Reliability of ray paths degrades as launch angles become shallower and if strong gradients and rapidly changing gradients in sound speed are present in the vicinity of the transceiver elements. A set of Greenland Sea data between one transceiver pair was processed. Although only three groups of eigenrays are involved, initial inversion results indicate the estimator detects seasonal variations and synoptic scale events occurring at time scales greater than 20 days, however, solutions show wide fluctuations at shorter times.
author2 NAVAL POSTGRADUATE SCHOOL MONTEREY CA
format Text
author Joseph, John E.
author_facet Joseph, John E.
author_sort Joseph, John E.
title Acoustic Tomography in the Greenland Sea
title_short Acoustic Tomography in the Greenland Sea
title_full Acoustic Tomography in the Greenland Sea
title_fullStr Acoustic Tomography in the Greenland Sea
title_full_unstemmed Acoustic Tomography in the Greenland Sea
title_sort acoustic tomography in the greenland sea
publishDate 1991
url http://www.dtic.mil/docs/citations/ADA246574
http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA246574
geographic Greenland
geographic_facet Greenland
genre Greenland
Greenland Sea
genre_facet Greenland
Greenland Sea
op_source DTIC AND NTIS
op_relation http://www.dtic.mil/docs/citations/ADA246574
op_rights Approved for public release; distribution is unlimited.
_version_ 1766014286275018752